Our Changing World and the Role of

Geospatial Information

Inertial Surveying Transit GPS Multi-GNSS + Inertial

Photogrammetry Airborne Scanning High Resolution Remote Sensing

Barometers, Gravimeters RFID Automotive Sensors Billions Devices/Sensors

Manual

Computation

Digital

Computation Real Time Information

Theodolites, tapes, chains EDM Total Stations 3D Scanning

Photogrammetry &

Remote Sensing

Angle & Distance

Measurement

Space & Inertial

Measurement

Peripheral

Sensors

Computation &

Communications

Integrated

Mobile

Mapping

Antiquity Current Day

“Points”

Day

Time

Accuracy/

Expenditure

Cost/Point

Sensor Integration

Real Time

Big Data

Cloud Computing

3D Models

Sensors

Software

Intelligence Processing

Power

Data Storage

Connectivity

Visualization & Interaction

Field Office

Dedicated Collection Crowd Sourcing

Official Data Sufficient

Free & Ubiquitous Proprietary

“Classical” Embedded in Process

Version Controlled Dynamic

Owner/User/New

Constituencies Professional

Place

Source

Data Integrity

Access

Application

Update Frequency

Influence

1X 3X Addressable Geospatial Market

Agriculture Heavy Civil

Construction Construction BIM

Cadastral &

Geospatial Transportation &

Logistics

Rail Environmental &

Waste Water Utilities Electric Utilities

Intelligent

Transportation

Forestry Field Service Oil & Gas Consumer

Devices

Indoor Mapping &

Virtual Worlds

DBs

GIS Server

Enterprise

Application

CITIZENS & CONSUMERS

– GIS Data Users

- Smart Phones

MOBILE FIELD CREWS & FLEETS

- Data Collection / Validation

- Work & Incident Management

- Asset Management

- Fleet tracking & Routing

CONTRACTORS – Intelligent Machines

3D geospatial information &

technology is a key enabler

for the entire process

Historical: discrete process steps performed by a

professional with explicit hand-off of results

Geospatial context

embedded in the data

structure with all other

data elements

Industry Process

Industry Process

Key Skills: Establishing context

Managing complexity

Data management

Key Values: Accuracy

Credibility

Reliability

Collaboration

Analysis,

Modeling &

Applications

Roles to Be Defined

“Data Management”

Traditional Comfort Zone

“Data Collection”

Key Skills: Instrumental precision

Meticulous calculations

Key Values: Accuracy

Credibility

Reliability

Measurement

& Data

Collection

Interpretation

& Quality

Control

Collaborate

Across the

Entire Work

Flow

Enlarge the

Role – Data &

Quality

Management

Embrace the 3D Model

Adopt Technologies

Early to Achieve

Differentiation

Expand Competencies

& Provide Greater Value

Content Adapt to Specific Industry Needs

Thank you